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LION
2010
Springer
190views Optimization» more  LION 2010»
15 years 9 months ago
Algorithm Selection as a Bandit Problem with Unbounded Losses
Abstract. Algorithm selection is typically based on models of algorithm performance learned during a separate offline training sequence, which can be prohibitively expensive. In r...
Matteo Gagliolo, Jürgen Schmidhuber
147
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FSEN
2007
Springer
15 years 9 months ago
Test Selection Criteria for Quantifier-Free First-Order Specifications
This paper deals with test case selection from axiomatic specifications whose axioms are quantifier-free first-order formulae. Test cases are modeled as ground formulae and any spe...
Marc Aiguier, Agnès Arnould, Pascale Le Gal...
ATAL
2010
Springer
15 years 6 months ago
Learning context conditions for BDI plan selection
An important drawback to the popular Belief, Desire, and Intentions (BDI) paradigm is that such systems include no element of learning from experience. In particular, the so-calle...
Dhirendra Singh, Sebastian Sardiña, Lin Pad...
SG
2009
Springer
15 years 11 months ago
GPSel: A Gestural Perceptual-Based Path Selection Technique
This paper introduces a gestural perceptual-based approach to select objects, i.e., nodes and/or edges along paths. Based on known results from perception research, we propose a mo...
Hoda Dehmeshki, Wolfgang Stürzlinger
ICPR
2008
IEEE
15 years 11 months ago
Feature selection for clustering with constraints using Jensen-Shannon divergence
In semi-supervised clustering, domain knowledge can be converted to constraints and used to guide the clustering. In this paper we propose a feature selection algorithm for semi-s...
Yuanhong Li, Ming Dong, Yunqian Ma